A Novel Rule Weighting Approach in Classification Association Rule Mining

Classification Association Rule Mining (CARM) is a recent Classification Rule Mining (CRM) approach that builds an Association Rule Mining (ARM) based classifier using Classification Association Rules (CARs). Regardless of which particular CARM algorithm is used, a similar set of CARs is always generated from data, and a classifier is usually presented as an ordered list of CARs, based on a selected rule ordering strategy. Hence to produce an accurate classifier, it is essential to develop a rational rule ordering mechanism. In the past decade, a number of rule ordering strategies have been introduced that can be categorized under three headings: (1) support-confidence, (2) rule weighting, and (3) hybrid. In this paper, we propose an alternative rule weighting scheme, namely CISRW (Class-Item Score based Rule Weighting), and develop a rule weighting based rule ordering mechanism based on CISRW. Subsequently, two hybrid rule ordering strategies are further introduced by combining (1) a...

• Type: Conference
• Year: 2007
• Where: ICDM
• Authors: Yanbo J. Wang, Qin Xin, Frans Coenen
• Keywords: Data Mining, ICDM 2007, Rule Mining, Rule Ordering Strategies, Rule Weighting